Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with three decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including customer analytics, fraud detection, risk modeling, text mining, survey analysis, planned giving, and many more.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences worldwide, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.
He holds a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987)
Breakout Session (60 minutes):